Comparison
anything-llm vs sre
Verdict
Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick sre if smythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Markdown twin · anything-llm alternatives · sre alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | anything-llm | sre |
|---|---|---|
| Maintenance | Very active (1d since push) As of 6d · github_public_v1 | Slowing (139d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
- sre
- Cloud-native runtime for building, running, and managing intelligent agents
Stars
- anything-llm
- 65k
- sre
- 1.3k
Forks
- anything-llm
- 7.1k
- sre
- 201
Open issues
- anything-llm
- 319
- sre
- 34
Language
- anything-llm
- JavaScript
- sre
- TypeScript
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- sre
- SmythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Persona
- anything-llm
- -
- sre
- -
Runtime
- anything-llm
- -
- sre
- -
License
- anything-llm
- MIT
- sre
- MIT
Last pushed
- anything-llm
- Aug 13, 2026
- sre
- Apr 3, 2026
Categories
- anything-llm
- AI Agents, Inference & Serving
- sre
- AI Agents
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- sre
- Slowing (36%)
Days since push
- anything-llm
- 1d
- sre
- 139d
Open issues (now)
- anything-llm
- 319
- sre
- 34
Stars delta
- anything-llm
- +1.4k (30d)
- sre
- +6 (30d)
Open issues delta
- anything-llm
- +2 (30d)
- sre
- +1 (30d)
Full report
- anything-llm
- Trust report
- sre
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; sre is TypeScript.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Choose sre if…
- sre is primarily TypeScript; anything-llm is JavaScript.
- Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems.
- Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
When NOT to use sre
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind.
- If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Aug 15, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Aug 15, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Aug 13, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SmythOS/sre) · observed Aug 20, 2026
- GitHub forks (SmythOS/sre) · observed Aug 20, 2026
- Last push (SmythOS/sre) · observed Apr 3, 2026
- License file (MIT) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 65k · sre 1.3k (synced Aug 15, 2026).
Common questions
- What is the difference between anything-llm and sre?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. sre: Cloud-native runtime for building, running, and managing intelligent agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over sre?
- Choose anything-llm over sre when anything-llm is primarily JavaScript; sre is TypeScript; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I choose sre over anything-llm?
- Choose sre over anything-llm when sre is primarily TypeScript; anything-llm is JavaScript; Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems; Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- When should I avoid sre?
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind. If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
- Is anything-llm or sre more popular on GitHub?
- anything-llm has more GitHub stars (64,716 vs 1,291). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and sre open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, sre: MIT).
- Where can I find alternatives to anything-llm or sre?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and sre alternatives (anything-llm markdown twin, sre markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, anything-llm or sre?
- anything-llm: Very active. sre: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for anything-llm and sre?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; sre trust report.